Computational and Mathematical Methods in Information Science and Engineering

• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
• Descrizione fisica: 1 online resource (402 p.)
• Soggetto topico: Mathematics & science; Research & information: general
• Soggetto non controllato: adaptive; ARIMA; ARL; buffer wards; career choice; center-of-gravity method; circular economy; classical retrial policy; clustering algorithm; college students; complex supply chain network; conditional autoregressive model; control charts; convolutional neural network model; COVID-19 data; COVID-19 pandemic; data stream; deep learning model; demand pattern; deviance residuals; displacement of volume method; dynamic bed allocation; dynamic weighting; egg shape equation; egg volume; embedded model; empirical mode decomposition; environmental awareness; environmental policies; feedback mechanism; GAN; global fusion; green supply chain; grey correlation analysis; hybrid multi-attribute; hybrid mutation; imbalanced classification; in-house; infinite orbit; information acquisition; Internet of Things; interval-valued intuitionistic fuzzy numbers; knowledge interaction neural network; lightweight image reconstruction network; link functions; local interaction; logistic profiling; machine learning; malicious network traffic; Markov chain Monte Carlo; metal mines; mining plan; mixed-integer programming; model selection; multi-facility location problem; multi-objective optimization; multi-scale; multiscale analysis; n/a; noise-resilient; non-convex loss function; non-cooperative equilibrium; oblivious quantum key distribution; occurrence rate; online-learning; opinions polarization; outsourcing; partial discharge (PD); patient admission control; Pearson residuals; phase-resolved PD (PRPD); prediction; private set intersection; productivity prediction; quantum authentication; queue dependent service rate; regression; reservoir characterization; retail; rotating machine; sales forecasting; seasonal ARIMA; spatial Poisson model; stator coil; structural balance; three-way group decision making; tourist arrival forecast; variational mode decomposition; VIKOR model; waiting time analysis
• Sommario/riassunto: Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accepted and published in the first edition of the Special Issue titled "Computational and Mathematical Methods in Information Science and Engineering". The objective of this Special Issue is to provide a channel through which members of the scientific community can exchange insights regarding recent advances in the theory and application of computational and mathematical methods in information science and engineering, with the long-term goal being to solve data-handling problems in practice. We hope that the papers published in this Special Issue will be considered impactful by the international scientific community and motivate further research into computational and mathematical methods that can solve complex problems in various fields and applications.
• Titolo autorizzato: Computational and Mathematical Methods in Information Science and Engineering
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743271803321
• Lo trovi qui: Univ. Federico II